Special Topics in Artificial Intelligence and Augmented Reality
The Case of Spatial Intelligence Enhancement
About this book series
Titles in this series now included in the Thomson Reuters Book Citation Index and Scopus!
The Cognitive Technologies (CT) series is committed to the timely publishing of high-quality manuscripts that promote the development of cognitive technologies and systems on the basis of artificial intelligence, image processing and understanding, natural language processing, machine learning and human-computer interaction.
It brings together the latest developments in all areas of this multidisciplinary topic, ranging from theories and algorithms to various important applications. The intended readership includes research students and researchers in computer science, computer engineering, cognitive science, electrical engineering, data science and related fields seeking a convenient way to track the latest findings on the foundations, methodologies and key applications of cognitive technologies.
The series provides a publishing and communication platform for all cognitive technologies topics, including but not limited to these most recent examples:
- Interactive machine learning, interactive deep learning, machine teaching
- Explainability (XAI), transparency, robustness of AI and trustworthy AI
- Knowledge representation, automated reasoning, multiagent systems
- Common sense modelling, context-based interpretation, hybrid cognitive technologies
- Human-centered design, socio-technical systems, human-robot interaction, cognitive robotics
- Learning with small datasets, never-ending learning, metacognition and introspection
- Intelligent decision support systems, prediction systems and warning systems
- Special transfer topics such as CT for computational sustainability, CT in business applications and CT in mobile robotic systems
The series includes monographs, introductory and advanced textbooks, state-of-the-art collections, and handbooks. In addition, it supports publishing in Open Access mode.
- Electronic ISSN
- 2197-6635
- Print ISSN
- 1611-2482
- Editor-in-Chief
-
- Daniel Sonntag
Book titles in this series
Abstracted and indexed in
-
- DBLP
- EI Compendex
- SCImago
- SCOPUS